Artículos de revistas sobre el tema "Model annotation"
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Liu, Zheng. "LDA-Based Automatic Image Annotation Model". Advanced Materials Research 108-111 (mayo de 2010): 88–94. http://dx.doi.org/10.4028/www.scientific.net/amr.108-111.88.
Texto completoPaun, Silviu, Bob Carpenter, Jon Chamberlain, Dirk Hovy, Udo Kruschwitz y Massimo Poesio. "Comparing Bayesian Models of Annotation". Transactions of the Association for Computational Linguistics 6 (diciembre de 2018): 571–85. http://dx.doi.org/10.1162/tacl_a_00040.
Texto completoMisirli, Goksel, Matteo Cavaliere, William Waites, Matthew Pocock, Curtis Madsen, Owen Gilfellon, Ricardo Honorato-Zimmer, Paolo Zuliani, Vincent Danos y Anil Wipat. "Annotation of rule-based models with formal semantics to enable creation, analysis, reuse and visualization". Bioinformatics 32, n.º 6 (11 de noviembre de 2015): 908–17. http://dx.doi.org/10.1093/bioinformatics/btv660.
Texto completoLi, Huadong, Ying Wei, Han Peng y Wei Zhang. "DiffuPrompter: Pixel-Level Automatic Annotation for High-Resolution Remote Sensing Images with Foundation Models". Remote Sensing 16, n.º 11 (2 de junio de 2024): 2004. http://dx.doi.org/10.3390/rs16112004.
Texto completoChu, Zhendong, Jing Ma y Hongning Wang. "Learning from Crowds by Modeling Common Confusions". Proceedings of the AAAI Conference on Artificial Intelligence 35, n.º 7 (18 de mayo de 2021): 5832–40. http://dx.doi.org/10.1609/aaai.v35i7.16730.
Texto completoRotman, Guy y Roi Reichart. "Multi-task Active Learning for Pre-trained Transformer-based Models". Transactions of the Association for Computational Linguistics 10 (2022): 1209–28. http://dx.doi.org/10.1162/tacl_a_00515.
Texto completoLuo, Yan, Tianxiu Lu, Weihan Zhang, Suiqun Li y Xuefeng Wang. "Augmenting Three-Dimensional Model Annotation System with Enhanced Reality". Journal of Computing and Electronic Information Management 12, n.º 2 (30 de marzo de 2024): 1–7. http://dx.doi.org/10.54097/uv15ws76.
Texto completoFilali, Jalila, Hajer Baazaoui Zghal y Jean Martinet. "Ontology-Based Image Classification and Annotation". International Journal of Pattern Recognition and Artificial Intelligence 34, n.º 11 (16 de marzo de 2020): 2040002. http://dx.doi.org/10.1142/s0218001420400029.
Texto completoWu, Xian, Wei Fan y Yong Yu. "Sembler: Ensembling Crowd Sequential Labeling for Improved Quality". Proceedings of the AAAI Conference on Artificial Intelligence 26, n.º 1 (20 de septiembre de 2021): 1713–19. http://dx.doi.org/10.1609/aaai.v26i1.8351.
Texto completoVanBerlo, Bennett, Delaney Smith, Jared Tschirhart, Blake VanBerlo, Derek Wu, Alex Ford, Joseph McCauley et al. "Enhancing Annotation Efficiency with Machine Learning: Automated Partitioning of a Lung Ultrasound Dataset by View". Diagnostics 12, n.º 10 (28 de septiembre de 2022): 2351. http://dx.doi.org/10.3390/diagnostics12102351.
Texto completoPozharkova, I. N. "Context-Dependent Annotation Method in Emergency Monitoring Information Systems". Informacionnye Tehnologii 28, n.º 1 (17 de enero de 2022): 43–47. http://dx.doi.org/10.17587/it.28.43-47.
Texto completoBauer, Matthias y Angelika Zirker. "Explanatory Annotation of Literary Texts and the Reader: Seven Types of Problems". International Journal of Humanities and Arts Computing 11, n.º 2 (octubre de 2017): 212–32. http://dx.doi.org/10.3366/ijhac.2017.0193.
Texto completoWood, Valerie, Seth Carbon, Midori A. Harris, Antonia Lock, Stacia R. Engel, David P. Hill, Kimberly Van Auken et al. "Term Matrix: a novel Gene Ontology annotation quality control system based on ontology term co-annotation patterns". Open Biology 10, n.º 9 (septiembre de 2020): 200149. http://dx.doi.org/10.1098/rsob.200149.
Texto completoHayat, Hassan, Carles Ventura y Agata Lapedriza. "Modeling Subjective Affect Annotations with Multi-Task Learning". Sensors 22, n.º 14 (13 de julio de 2022): 5245. http://dx.doi.org/10.3390/s22145245.
Texto completoRao, Xun, Jiasheng Wang, Wenjing Ran, Mengzhu Sun y Zhe Zhao. "Deep-Learning-Based Annotation Extraction Method for Chinese Scanned Maps". ISPRS International Journal of Geo-Information 12, n.º 10 (14 de octubre de 2023): 422. http://dx.doi.org/10.3390/ijgi12100422.
Texto completoAttik, Mohammed, Malik Missen, Mickaël Coustaty, Gyu Choi, Fahd Alotaibi, Nadeem Akhtar, Muhammad Jhandir, V. Prasath, Nadeem Salamat y Mujtaba Husnain. "OpinionML—Opinion Markup Language for Sentiment Representation". Symmetry 11, n.º 4 (15 de abril de 2019): 545. http://dx.doi.org/10.3390/sym11040545.
Texto completoLi, Wei, Haiyu Song, Hongda Zhang, Houjie Li y Pengjie Wang. "The Image Annotation Refinement in Embedding Feature Space based on Mutual Information". International Journal of Circuits, Systems and Signal Processing 16 (10 de enero de 2022): 191–201. http://dx.doi.org/10.46300/9106.2022.16.23.
Texto completoCooling, Michael T. y Peter Hunter. "The CellML Metadata Framework 2.0 Specification". Journal of Integrative Bioinformatics 12, n.º 2 (1 de junio de 2015): 86–103. http://dx.doi.org/10.1515/jib-2015-260.
Texto completoMeunier, Loïc, Denis Baurain y Luc Cornet. "AMAW: automated gene annotation for non-model eukaryotic genomes". F1000Research 12 (16 de febrero de 2023): 186. http://dx.doi.org/10.12688/f1000research.129161.1.
Texto completoYeh, Eric, William Jarrold y Joshua Jordan. "Leveraging Psycholinguistic Resources and Emotional Sequence Models for Suicide Note Emotion Annotation". Biomedical Informatics Insights 5s1 (enero de 2012): BII.S8979. http://dx.doi.org/10.4137/bii.s8979.
Texto completoNichyporuk, Brennan, Jillian Cardinell, Justin Szeto, Raghav Mehta, Jean-Pierre Falet, Douglas L. Arnold, Sotirios A. Tsaftaris y Tal Arbel. "Rethinking Generalization: The Impact of Annotation Style on Medical Image Segmentation". Machine Learning for Biomedical Imaging 1, December 2022 (15 de diciembre de 2022): 1–37. http://dx.doi.org/10.59275/j.melba.2022-2d93.
Texto completoMa, Qin Yi, Li Hua Song, Da Peng Xie y Mao Jun Zhou. "Development of CAD Model Annotation System Based on Design Intent". Applied Mechanics and Materials 863 (febrero de 2017): 368–72. http://dx.doi.org/10.4028/www.scientific.net/amm.863.368.
Texto completoMannai, Zayneb, Anis Kalboussi y Ahmed Hadj Kacem. "Towards a Standard of Modelling Annotations in the E-Health Domain". Health Informatics - An International Journal 10, n.º 04 (30 de noviembre de 2021): 1–10. http://dx.doi.org/10.5121/hiij.2021.10401.
Texto completoBALEY, Julien. "Leveraging graph algorithms to speed up the annotation of large rhymed corpora". Cahiers de Linguistique Asie Orientale 51, n.º 1 (17 de marzo de 2022): 46–80. http://dx.doi.org/10.1163/19606028-bja10019.
Texto completoSalek, Mahyar, Yoram Bachrach y Peter Key. "Hotspotting — A Probabilistic Graphical Model For Image Object Localization Through Crowdsourcing". Proceedings of the AAAI Conference on Artificial Intelligence 27, n.º 1 (29 de junio de 2013): 1156–62. http://dx.doi.org/10.1609/aaai.v27i1.8465.
Texto completoZhang, Hansong, Shikun Li, Dan Zeng, Chenggang Yan y Shiming Ge. "Coupled Confusion Correction: Learning from Crowds with Sparse Annotations". Proceedings of the AAAI Conference on Artificial Intelligence 38, n.º 15 (24 de marzo de 2024): 16732–40. http://dx.doi.org/10.1609/aaai.v38i15.29613.
Texto completoPimenov, I. S. "Analyzing Disagreements in Argumentation Annotation of Scientific Texts in Russian Language". NSU Vestnik. Series: Linguistics and Intercultural Communication 21, n.º 2 (9 de septiembre de 2023): 89–104. http://dx.doi.org/10.25205/1818-7935-2023-21-2-89-104.
Texto completoWu, Aihua. "Ranking Biomedical Annotations with Annotator’s Semantic Relevancy". Computational and Mathematical Methods in Medicine 2014 (2014): 1–11. http://dx.doi.org/10.1155/2014/258929.
Texto completoYuan, Guowen, Ben Kao y Tien-Hsuan Wu. "CEMA – Cost-Efficient Machine-Assisted Document Annotations". Proceedings of the AAAI Conference on Artificial Intelligence 37, n.º 9 (26 de junio de 2023): 11043–50. http://dx.doi.org/10.1609/aaai.v37i9.26308.
Texto completoBraylan, Alexander, Madalyn Marabella, Omar Alonso y Matthew Lease. "A General Model for Aggregating Annotations Across Simple, Complex, and Multi-Object Annotation Tasks". Journal of Artificial Intelligence Research 78 (11 de diciembre de 2023): 901–73. http://dx.doi.org/10.1613/jair.1.14388.
Texto completoBilal, Mühenad, Ranadheer Podishetti, Leonid Koval, Mahmoud A. Gaafar, Daniel Grossmann y Markus Bregulla. "The Effect of Annotation Quality on Wear Semantic Segmentation by CNN". Sensors 24, n.º 15 (23 de julio de 2024): 4777. http://dx.doi.org/10.3390/s24154777.
Texto completoSpetale, Flavio E., Javier Murillo, Gabriela V. Villanova, Pilar Bulacio y Elizabeth Tapia. "FGGA-lnc: automatic gene ontology annotation of lncRNA sequences based on secondary structures". Interface Focus 11, n.º 4 (11 de junio de 2021): 20200064. http://dx.doi.org/10.1098/rsfs.2020.0064.
Texto completoRamakrishnaiah, Yashpal, Adam P. Morris, Jasbir Dhaliwal, Melcy Philip, Levin Kuhlmann y Sonika Tyagi. "Linc2function: A Comprehensive Pipeline and Webserver for Long Non-Coding RNA (lncRNA) Identification and Functional Predictions Using Deep Learning Approaches". Epigenomes 7, n.º 3 (15 de septiembre de 2023): 22. http://dx.doi.org/10.3390/epigenomes7030022.
Texto completoYssel, Anna E. J., Shu-Min Kao, Yves Van de Peer y Lieven Sterck. "ORCAE-AOCC: A Centralized Portal for the Annotation of African Orphan Crop Genomes". Genes 10, n.º 12 (20 de noviembre de 2019): 950. http://dx.doi.org/10.3390/genes10120950.
Texto completoPham, Vinh, Dung Dinh, Eunil Seo y Tai-Myoung Chung. "COVID-19-Associated Lung Lesion Detection by Annotating Medical Image with Semi Self-Supervised Technique". Electronics 11, n.º 18 (13 de septiembre de 2022): 2893. http://dx.doi.org/10.3390/electronics11182893.
Texto completoBraylan, Alexander, Madalyn Marabella, Omar Alonso y Matthew Lease. "A General Model for Aggregating Annotations AcrossSimple, Complex, and Multi-object Annotation Tasks (Abstract Reprint)". Proceedings of the AAAI Conference on Artificial Intelligence 38, n.º 20 (24 de marzo de 2024): 22693. http://dx.doi.org/10.1609/aaai.v38i20.30593.
Texto completoKojima, Ryosuke, Osamu Sugiyama, Kotaro Hoshiba, Kazuhiro Nakadai, Reiji Suzuki y Charles E. Taylor. "Bird Song Scene Analysis Using a Spatial-Cue-Based Probabilistic Model". Journal of Robotics and Mechatronics 29, n.º 1 (20 de febrero de 2017): 236–46. http://dx.doi.org/10.20965/jrm.2017.p0236.
Texto completoLin, Tai-Pei, Chiou-Ying Yang, Ko-Jiunn Liu, Meng-Yuan Huang y Yen-Lin Chen. "Immunohistochemical Stain-Aided Annotation Accelerates Machine Learning and Deep Learning Model Development in the Pathologic Diagnosis of Nasopharyngeal Carcinoma". Diagnostics 13, n.º 24 (18 de diciembre de 2023): 3685. http://dx.doi.org/10.3390/diagnostics13243685.
Texto completoGrudza, Matthew, Brandon Salinel, Sarah Zeien, Matthew Murphy, Jake Adkins, Corey T. Jensen, Curtis Bay et al. "Methods for improving colorectal cancer annotation efficiency for artificial intelligence-observer training". World Journal of Radiology 15, n.º 12 (28 de diciembre de 2023): 359–69. http://dx.doi.org/10.4329/wjr.v15.i12.359.
Texto completoHan, Zhoupeng, Hua Zhang, Weirong He, Li Ba y Qilong Yuan. "Automatic Annotation of Functional Semantics for 3D Product Model Based on Latent Functional Semantics". Scientific Programming 2023 (4 de febrero de 2023): 1–10. http://dx.doi.org/10.1155/2023/9885859.
Texto completoWu, Nannan, Zhaobin Sun, Zengqiang Yan y Li Yu. "FedA3I: Annotation Quality-Aware Aggregation for Federated Medical Image Segmentation against Heterogeneous Annotation Noise". Proceedings of the AAAI Conference on Artificial Intelligence 38, n.º 14 (24 de marzo de 2024): 15943–51. http://dx.doi.org/10.1609/aaai.v38i14.29525.
Texto completoMa, Qin Yi, Mao Jun Zhou, Ming Wei Wang y Hui Hui Wang. "Semantic Annotation of CAD Model Based on Ontology". Advanced Materials Research 760-762 (septiembre de 2013): 1767–72. http://dx.doi.org/10.4028/www.scientific.net/amr.760-762.1767.
Texto completoTanaka, Fumiki, Hiroyuki Abe, Shinji Igari y Masahiko Onosato. "Integrated Information Model for Design, Machining, and Measuring Using Annotated Features". International Journal of Automation Technology 8, n.º 3 (5 de mayo de 2014): 388–95. http://dx.doi.org/10.20965/ijat.2014.p0388.
Texto completoWei, Qiang, Yukun Chen, Mandana Salimi, Joshua C. Denny, Qiaozhu Mei, Thomas A. Lasko, Qingxia Chen et al. "Cost-aware active learning for named entity recognition in clinical text". Journal of the American Medical Informatics Association 26, n.º 11 (11 de julio de 2019): 1314–22. http://dx.doi.org/10.1093/jamia/ocz102.
Texto completoMesser, Dolores, Michael Atchapero, Mark B. Jensen, Michelle S. Svendsen, Anders Galatius, Morten T. Olsen, Jeppe R. Frisvad et al. "Using virtual reality for anatomical landmark annotation in geometric morphometrics". PeerJ 10 (7 de febrero de 2022): e12869. http://dx.doi.org/10.7717/peerj.12869.
Texto completoChen, Chih-Ming y Ming-Yueh Tsay. "Applications of collaborative annotation system in digital curation, crowdsourcing, and digital humanities". Electronic Library 35, n.º 6 (6 de noviembre de 2017): 1122–40. http://dx.doi.org/10.1108/el-08-2016-0172.
Texto completoHussein, Shereen A., Howida Youssry Abd El Naby y Aliaa A. A. Youssif. "Review: Automatic Semantic Image Annotation". INTERNATIONAL JOURNAL OF COMPUTERS & TECHNOLOGY 15, n.º 12 (28 de septiembre de 2016): 7290–97. http://dx.doi.org/10.24297/ijct.v15i12.4357.
Texto completoCai, Tingting, Hongping Yan, Kun Ding, Yan Zhang y Yueyue Zhou. "WSPolyp-SAM: Weakly Supervised and Self-Guided Fine-Tuning of SAM for Colonoscopy Polyp Segmentation". Applied Sciences 14, n.º 12 (8 de junio de 2024): 5007. http://dx.doi.org/10.3390/app14125007.
Texto completoDavani, Aida Mostafazadeh, Mark Díaz y Vinodkumar Prabhakaran. "Dealing with Disagreements: Looking Beyond the Majority Vote in Subjective Annotations". Transactions of the Association for Computational Linguistics 10 (2022): 92–110. http://dx.doi.org/10.1162/tacl_a_00449.
Texto completoYang, Haiwang, Maria Jaime, Maxi Polihronakis, Kelvin Kanegawa, Therese Markow, Kenneth Kaneshiro y Brian Oliver. "Re-annotation of eight Drosophila genomes". Life Science Alliance 1, n.º 6 (diciembre de 2018): e201800156. http://dx.doi.org/10.26508/lsa.201800156.
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